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Climate-based statistical regression models for crop yield forecasting of coffee in humid tropical Kerala, India

Abstract

A study on the variability of coffee yield of both Coffea arabica and Coffea canephora as influenced by climate parameters (rainfall (RF), maximum temperature (Tmax), minimum temperature (Tmin), and mean relative humidity (RH)) was undertaken at Regional Coffee Research Station, Chundale, Wayanad, Kerala State, India. The result on the coffee yield data of 30 years (1980 to 2009) revealed that the yield of coffee is fluctuating with the variations in climatic parameters. Among the species, productivity was higher for C. canephora coffee than C. arabica in most of the years. Maximum yield of C. canephora (2040 kg ha−1) was recorded in 2003–2004 and there was declining trend of yield noticed in the recent years. Similarly, the maximum yield of C. arabica (1745 kg ha−1) was recorded in 1988–1989 and decreased yield was noticed in the subsequent years till 1997–1998 due to year to year variability in climate. The highest correlation coefficient was found between the yield of C. arabica coffee and maximum temperature during January (0.7) and between C. arabica coffee yield and RH during July (0.4). Yield of C. canephora coffee had highest correlation with maximum temperature, RH and rainfall during February. Statistical regression model between selected climatic parameters and yield of C. arabica and C. canephora coffee was developed to forecast the yield of coffee in Wayanad district in Kerala. The model was validated for years 2010, 2011, and 2012 with the coffee yield data obtained during the years and the prediction was found to be good.

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References

  1. Achoth L (2005) Report on surveys on coffee holdings and coffee market chain in India in relation to mould contamination in coffee submitted to Coffee Board of India. Bangalore and Food and Agricultural Organization of United Nations, Rome, pp. 1–38

    Google Scholar 

  2. Agrawal R, Jain RC, Mehta HC (2001) Yield forecast based on weather variables and agricultural inputs on agroclimatic zone basis. Ind J Agr Sci 71:487–490

    Google Scholar 

  3. Alègre C (1959) Climates et caféiers d’Arabie. Agron Trop 14:23–58

    Google Scholar 

  4. Allen MR, Frame DJ, Huntingford C, Jones CD, Lowe JA, Meinhausen N (2009) Warming caused by cumulative carbon emissions towards the trillionth tonne. Nature 458:1163–1166

    CAS  Article  Google Scholar 

  5. Amaral JAT, Rena AB, Amaral JFT (2006) Crescimento vegetative sazonal do cafeeiro e sua relac¸ão com fotoperı’odo, frutificac¸ão, resistência estoma’tica e fotossíntese. Pesq Agrop Brasileira 41:377–384

    Article  Google Scholar 

  6. Barros RS, Mota JW, DaMatta FM, Maestri M (1997) Decline of vegetative growth in Coffea C.Arabica L. In relation to leaf temperature, water potential and stomatal conductance. Field Crops Res 54:65–72

    Article  Google Scholar 

  7. Batista-Santos P, Lidon FC, Fortunato A, Leitão AE, Lopes E, Partelli F, Ribeiro AI, Ramalho JC (2011) The impact of cold on photosynthesis in genotypes of Coffea spp. photosystem sensitivity, photoprotective mechanisms and gene expression. J Plant Physiol 168:792–806

    CAS  Article  Google Scholar 

  8. Camargo AP (1985) O clima e a cafeicultura no Brasil. Inf Agropec 11:13–26

    Google Scholar 

  9. Camargo MBP, Santos MA, Pedro MJ, Jr., Fahl JI, Brunini O, Meireles EJL, Bardin L (2003) Fashion model agro-meteorological monitoring and productivity loss estimate as a subsidy to the crop forecast coffee (Coffea arabica L.): preliminary results. In: Research Symposium of the Cafés do Brazil, 3, 2003. Port Insurance, Proceedings, Porto Seguro Brazilian Consortium of Coffee Research and Development, 2003. p 7576

  10. Carvalho LG, Sediyama GC, Cecon PR, Alvez HMR (2003) Avaliação de um modelo agrometeorológico para previsão da produtividade de café em três localidades da região Sul do Estado de Minas Gerais. Revista Brasileira de Agrometeorologia 11:343–352

    Google Scholar 

  11. Chaves MM, Maroc JP, Pereira JS (2003) Understanding plant responses to drought: from genes to the whole plant. Funct Plant Biol 30:239–264

    CAS  Article  Google Scholar 

  12. Coffee Board (2009) Coffee regions—India. indiacoffeeorg Bangalore, India: Coffee Board (16 September 2009) Retrieved 1 December 2010

  13. Coste R (1992) Coffee - the plant and the product. MacMillan Press, London

    Google Scholar 

  14. DaMatta FM (2004) Ecophysiological constraints on the production of shaded and unshaded coffee: a review. Field Crops Res 86:99–114

    Article  Google Scholar 

  15. DaMatta FM, Ramalho JC (2006) Impacts of drought and temperature stress on coffee physiology and production: a review. Braz J Plant Physiol 18:55–81

    CAS  Article  Google Scholar 

  16. Davis AP, Gole TW, Baena S, Moat J (2012) The impact of climate change on indigenous arabica coffee (Coffea arabica): predicting future trends and identifying priorities. PLoS One 7(11):e47981

    CAS  Article  Google Scholar 

  17. Fisher RA, Yates F (1938) Statistical tables for biological, agricultural and medical research. Oliver and Boyd, London

    Google Scholar 

  18. Fortunato A, Lidon FC, Batista-Santos P, Leitão AE, Pais IP, Ribeiro AI, Ramalho JC (2010) Biochemical and molecular characterization of the antioxidative system of Coffea sp. under cold conditions in genotypes with contrasting tolerance. J Plant Physiol 167:333–342

    CAS  Article  Google Scholar 

  19. Ghosh K, Balasubramanian R, Bandopadhyay S, Chattopadhyay N, Singh KK, Rathore LS (2014) Development of crop yield forecast models under FASAL—a case study of kharif rice in West Bengal. J Agrometeor 16:1–8

    CAS  Google Scholar 

  20. Gopakumar CS (2011) Impacts of climate variability on Agriculture in Kerala, Ph.D thesis submitted to the Cochin University of Science and Technology, Cochin, p 1–267

  21. Haarer AE (1958) Modern coffee production. Leonard Hill, London

    Google Scholar 

  22. International Business Machines Corporation (2013) IBM SPSS Statistics Retrieved June, 2015, http://www-01.ibm.com/software/analytics/spss/

  23. International Coffee Organization (2015) Trade Statistics. Retrieved October 10, 2015, from http://www.ico.org/trade_statistics.asp

  24. International Trade Centre (2010) Climate change and the coffee industry, Technical paper, p 1–28

  25. IPCC (2007a) Summary for policymakers. In: Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor and H. L. Miller (eds.)]. Cambridge University Press, Cambridge

  26. IPCC (2007b) Summary for policymakers. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp. 7–22

    Google Scholar 

  27. Joseph EJ, Anitha AB, Jayakumar P, Sushanth CM, Jayakumar KV (2011) Climate change and sustainable water resource management in Kerala. Published by Centre for Water Resources development and Management (CWRDM), Kozhikode, pp 76

  28. Kerr RA (2009) What happened to global warming, scientists say just wait a bit. Science 326:28–29

    CAS  Article  Google Scholar 

  29. Lee, HL, Lee C-Y (2007). Building supply chain excellence in emerging economies. pp. 293–294. ISBN 0-387-38428-6

  30. Libardi VCM, Amaral JAT, Amaral JFT (1998) Crescimento vegetativo sazonal do cafeeiro (Coffea canephora Pierre var. Conilon) no sul do Estado do Espı’rito Santo. Revista Brasileira de Agrometeorologia 6:23–28

    Google Scholar 

  31. Maestri M, Barros RS (1977) Coffee. In: Alvim PT, Kozlowski TT (eds) Ecophysiology of tropical crops. Academic Press, London, pp. 249–278

    Chapter  Google Scholar 

  32. Marré WB (2012) Crescimento vegetativo e acu’mulo de nutrients em diferentes genótipos do cafeeiro Conilon. Universidade Federal do Espírito Santo, São Mateus

    Google Scholar 

  33. Partelli FL, Vieira HD, Viana AP, Batista-Santos P, Leitão AE, Ramalho JC (2009) Low temperature impact on photosynthetic parameters in coffee genotypes. Pesq Agrop Brasileira 44:1404–1415

  34. Partelli FL, Vieira HD, Silva MG, Ramalho JC (2010) Seasonal vegetative growth of different age branches of Conilon coffee tree. Semina: Ciências Agrárias 31:619–626

    Google Scholar 

  35. Partelli FL, Batista-Santos P, Scotti-Campos P, Pais IP, Quantin VL, Vieira HD, Ramalho JC (2011) Characterization of the main lipid components of chloroplast membranes and cold induced changes in Coffea spp. Environ Exp Bot 74:194–204

    CAS  Article  Google Scholar 

  36. Partelli FL, Araújo AV, Vieira HD, Dias JRM, de Menezes LF, Ramalho JC (2014) Microclimate and development of ‘Conilon’ coffee intercropped with rubber trees. Pesq. Agropec. Bras Brasília 49:872–881. doi:10.1590/S0100-204X2014001100006

    Article  Google Scholar 

  37. Paul S, Shekhar C, Bhan SC (2012) Cotton yield prediction for Punjab using weather based statistical models. J. of Agrometeor. 14:184–186

    Google Scholar 

  38. Praxedes SC, DaMatta FM, Loureiro ME, Ferrão MAG, Cordeiro AT (2006) Effects of long-term soil drought onphotosynthesis and carbohydrate metabolism in mature robusta coffee (Coffea canephora Pierre var. kouillou) leaves. Environ Exp Bot 56:263–273

    CAS  Article  Google Scholar 

  39. Ramalho JC, Campos PS, Teixeira M, Nunes MA (1998) Nitrogen dependent changes in antioxidant systems and in fatty acid composition of chloroplast membranes from Coffea arabica L. plants subjected to high irradiance. Plant Sci 135:115–124

    CAS  Article  Google Scholar 

  40. Ramalho JC, Quartin V, Leitão AE, Campos PS, Carelli ML, Fahl JI, Nunes MA (2003) Cold acclimation ability of photosynthesis among species of the tropical Coffea genus. Plant Biol 5:631–641

    CAS  Article  Google Scholar 

  41. Ramalho JC, DaMatta FM, Rodrigues AP, Scotti-Campos P, Pais I, Batista-Santos P, Partelli FL, Ribeiro AF, Lidon C, Leitão AE (2014) Cold impact and acclimation response of Coffea spp. plants. Theor Exp Plant Physiol 26:5–18

    CAS  Article  Google Scholar 

  42. Rao GSLHVP, Kesava Rao AVR, Krishnakumar KN, Gopakumar CS (2009) Impact of climate change on food and plantation crops in the humid tropics of India, ISPRS Archives XXXVIII-8/W3 Workshop Proceedings: Impact of Climate Change on Agriculture, 127

  43. Solomon S, Plattner GK, Knutti R, Friedlingstein R (2009) Irreversible climate change due to carbon dioxide emissions. PNAS 106:1704–1709

    CAS  Article  Google Scholar 

  44. Surendran U, Murugappan V (2010) Pragmatic approaches to manage soil fertility in sustainable agriculture. J Agron 9:57–69

  45. Surendran U, Sushanth CM, Mammen G, Joseph EJ (2014) Modeling the impacts of increase in temperature on irrigation water requirements in Palakkad district—a case study in humid tropical Kerala. Journal of Water and Clim Cha 5:471–487 . doi:10.2166/wcc.2014.108International Water Association (IWA) Publishers

    Google Scholar 

  46. Surendran U, Ramesh V, Jayakumar M, Marimuthu S, Sridevi G (2016a) Improved sugarcane productivity with tillage and trash management practices in semi arid tropical agro ecosystem in India. Soil Till Res 158:10–21. doi:10.1016/j.still.2015.10.009

    Article  Google Scholar 

  47. Surendran U, Ramasubramoniam S, Raja P, Kumar V, Murugappan V (2016b) Budgeting of major nutrients and the mitigation options for nutrient mining in semi arid tropical agro ecosystem of Tamil Nadu, India using NUTMON model. Environ Monitor Assess 188(4):1–17

    CAS  Article  Google Scholar 

  48. Tripathy MK, Mehra B, Chattopadhyay N, Singh KK (2012) Yield prediction of sugarcane and paddy for the districts of Uttar Pradesh. J of Agrometeor 14:173–175

    Google Scholar 

  49. Wang W, Vinocur B, Altman A (2003) Plant responses to drought, salinity and extreme temperatures: towards genetic engineering for stress tolerance. Planta 218:1–14

    CAS  Article  Google Scholar 

  50. Weill, MAM (1990) Avaliação de fatores edafoclimáticos e do manejo na produção de cafeeiros (Coffea arabica L.) na região de Marília e Garça, SP. 1990. 182p. Dissertação (Mestrado) - Escola Superior de Agricultura Luiz de Queiroz, Piracicaba

  51. Yulianur A, Rizalihadi MBC, Benara R (2012) A preliminary study on rainfall interception loss and water yield analysis on Arabica coffee plants in Central Aceh regency. Indonesia Int J Sci and Tech 1:94–97

    Google Scholar 

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Jayakumar, M., Rajavel, M. & Surendran, U. Climate-based statistical regression models for crop yield forecasting of coffee in humid tropical Kerala, India. Int J Biometeorol 60, 1943–1952 (2016). https://doi.org/10.1007/s00484-016-1181-4

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Keywords

  • Coffee yield
  • Variability
  • Climate
  • Statistical model